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excelle08

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Everything posted by excelle08

  1. excelle08
    I believe they are the same I believe that if you don't get offer in the first round and the status still says something like "under review", then you are waitlisted.
  2. excelle08
    Vote for Northeastern, in terms of location - Big city is more convenient for daily life. You don’t have to live in scenic spots to enjoy it as you can visit on vacation, while you are going to live and work in the place you choose for five years - Boston is safer than Salt Lake - NEU is famous for its good career service and Boston has lot more job opportunities. After all faculty positions are hard to get so you may also want to work in industry. - Although it’s expensive to live in Boston, NEU provides relatively larger amount of stipend so it shouldn’t be too big a problem.
  3. excelle08
    Yep. Finger crossed
  4. excelle08
    University of Washington, the one in Seattle.
  5. excelle08
    Exactly. UCR ranks great in csrankings.org, especially in Systems area. USNews can be very biased and subjective.
  6. excelle08
    Sadly I only applied to CS program. Anyway it's just a lottery. It's very hard to get admission from CMU PhD program without top tier publications and undergraduate university.
  7. excelle08
    Because I know the competition in Californian universities is extremely fierce, even started from last year...So didn't intend to put all eggs in one basket. I didn't apply UCLA because of inadequate recommendation letters. One of the recommender refused to contact me at that time, so I had to seek another one, but ddl for UCLA had passed.
  8. excelle08
    Maybe, but can't absolutely say so because the supecomputing lab in UCR is very attractive for its awesome publications. They published two SC papers last year.
  9. excelle08
    Yes as they are higher tiered universities in the field of computer system and storage system. For other schools in "realistic choices" I think I should further compare, in terms of the advisor, stipend package, location and so on. They all have pros and cons.
  10. excelle08
    He told me that he would review applications in Feb. I checked the gradcafe results and found UCR indeed notified in March last year, and in late Feb for 2016. Just wait patiently. Anyway I've already got acceptance from NEU.
  11. excelle08
    I applied to GATech, CMU, WashU, UCSD and WISC, but did not hear back anything. Seems that they all sent out their first round offers yesterday...So it's likely that my hope for these top tier schools is frail.
  12. excelle08
    Congratulations! That's amazing! I received its rejection yesterday...
  13. excelle08
    It seems so, just waiting for official notifications.
  14. excelle08
    The POI read my transcript and paper drafts, then replied that my background was good match with their lab and would recommend fellowship for me.
  15. excelle08
    Also another way is to look at the history of the conference. For example a conf that has been held for tens of years is not likely to be of poor quality. Also notice the PC and SC members, as well as authors of previous papers. Good conferences always attract highly skilled scientists, prestigious groups and institutions.
  16. excelle08
    Forget traditional reports and metrics such as JCR and impact factor. They don't work well with CS related journals and conferences. For example, even papers from best top-tier conferences (e.g. OSDI/SOSP) are unlikely to earn too many numbers of citations in the first three years. This is quite different from areas such as biotech and medicine, whose publications can be well measured by 2/3-yr impact factors.
  17. excelle08
    1. CCF has lists of rankings of computer science journals and conferences (http://www.ccf.org.cn/xspj/gyml/). But they are in Chinese, cover only a few conferences (So some top-tier conferences in minor areas such as RTSS is not listed) and may be prone to politics(e.g. INFOCOM is classified as A and EuroSys is only considered as B. ) 2. Google Scholar Metrics (https://scholar.google.com/citations?view_op=metrics_intro&hl=en) list top conferences and journals by h5-index. However you are only able to see top 20 publications in your specified area. 3. Conference Ranks(http://www.conferenceranks.com) lists a wide range of conferences and you can search on it. It uses both Qualis and ERA ranking data. Qualis groups conferences by h-index, and ERA is a ranking created by Australian scientists and institutes.
  18. excelle08
    Not sure if you want to have MS or PhD program. I think most CS programs do not restrict majors as long as you meet the specified requirements(i.e. GPA and CS-related courses). But after all changing major could be a challenge and thus you need to impress the committee with substantial experiences and strengths, such as projects, researches or internships. If you are referring to PHD programs, just join a lab, do researches in AI and try to get as many papers published in top-tier conferences as possible, as the field of AI is fiercely competitive and valuable publications would be of great help. Also be sure to select CS courses in order to meet admission requirements. Actually even students who major in CS cannot get promising feedbacks from faculties in top schools if they don't have evidence (such as papers) to prove their research potential. Major is not supposed to be a big problem as long as you boast adequate competence and quality for researches in AI, which would be testified by your researches, publications and recommendation from professors. MS programs, however, from what I know may be easier as they recruit much more students. You can get admitted to MS programs by meeting the needs of course requirements and get high grades. Also relevant CS projects are expected but it could be okay without published papers. However MS is mostly job oriented and you won't have too much time for researches because of both limitation of time and load of required courses, so there could be no difference whatever direction or track you choose in MS program in CS. You just take courses, do exercise on leetcode and find internships and jobs as a SDE in IT companies.
  19. excelle08
    Wondering your class rankings, given my knowledge of GPA inflation in some American universities. If a number of students in your class have a GPA of 4.0/4.0, you ought to catch up by working hard on the following courses to achieve higher GPA. Please note that the direction/track of Machine Learning has been a hit these years and therefore application for it could be EXTREMELY fiercely competitive. So If you would like to stand out among other applicants you MUST try to get as many papers published in top-tier conferences such as CVPR/AAAI/NIPS/ICML/ICLR as possible. One published paper in FAST or EuroSys or HPCA or ATC may lead to offers in System/Architecture directions from high ranked schools, it might not be the case for CV/ML/AI. One CVPR may not ensure safety for top30 PHD programs in these tracks. So you must try your utmost on your undergraduate researches and get as many quality papers as possible (three might be desirable). Good luck and fighting!
  20. excelle08
    Since they are not famous, they are not that likely to add to much strength regarding your application. You have a series of matching projects, but it seems that your percentile of grades might be a drawback and the school is not well known. Even though MS programs in tops schools may recruit a number of students, I don't think it's wise to apply for only the four top schools. You can keep the four top choices, but I would recommend you to add at least six schools with somewhat lower rankings (like NEU, PSU). However it's okay if you would only like to attend top-tier schools, but you should take the risks and only do that when getting full rejections does not matter you. Besides I would strongly recommend you to compress your CV. I don't think a reviewer in the application committee would have the time and patience to read such a long (and low-density) thing in face of thousands of application files. For example, you should eliminate the ``Tools/Techniques Used'' section, and try to express each aspect of a project in one or no more than two lines. Usually one should not write a CV longer than two pages unless he/she is a distinguished expert boasting tremendous amounts of important experiences and awards. After all, information density matters and thus you need to keep concise in paperworks.
  21. excelle08
    Wow your GRE score is awesome! By the way do you have any publications? So bravery of you to only apply to the two top schools... Good luck!
  22. excelle08
    Undergrad institution: An top-tier university ranking 10th in computer science nationally (Ranks 41th in CS major by USNews World Report) Major: Computer Science Overall GPA: 3.78/4.00 Class Ranking: 18/303 (6%) Type of Student: International, Asian TOEFL: 106 (R30, L29, S19, W28) GRE: 327 (V157, Q170, AW4.0) Research Experiences: Lab Researches (SwiftIO, McWiz, FlexBM), School funded project (Optical Text Recognition based on Phone Camera) Publications: 1x First Author, Submitted to ICS 2018; 1x 3rd Author, Submitted to ICS 2018; 1x 4th Author, Submitted to CCGrid 2018 Awards/Honors/Recognitions: Motorola Scholarship, Special Prize of NECCS 2016, Provincial Third Prize of Imagine Cup 2016, District first prize in national-wide web security challenge Internships: 6 months remote internship as developer at a tiny US startup. CV/Personal Site: https://excelle08.me Perspective Direction: Distributed/Parallel Systems, Storage Systems Applying to Where: Lotteries: CMU and U of WashingtonTop tier: GATech, UCSD, Wisconsin-Madison, UTexas AustinRealistic choices: NEU, Stony Brook, PennState, UCR, UVa, UMNSafe schools: George Mason, W&M College, UTexas Dallas Progress: Positive Feedback from POI via interview: UCR, George Mason, NEU, UVa Interviewed but with neutral feedbacks: PennState Interviewed but results unknown yet: UCSD(Via OA take-home tasks) Contact In Progress: UTexas Dallas
  23. excelle08
    Hi, everyone! I am an international student applying for 18fall Ph.D. in computer science programs in US. Now I've applied for 15 universities but only two of them are in California (i.e. UCR and UCSD). Here is my list of choices: Lotteries: CMU and U of Washington Top tier: GATech, UCSD, Wisconsin-Madison, UTexas Austin Realistic choices: NEU, Stony Brook, PSU, UCR, UVa, UMN Safe schools: George Mason, W&M College, UTexas Dallas So I made up these choices based on my backgrounds as well as the fact that the competition on PHD positions is fierce especially for this year. I did not choose too many UC schools because I've known that the universities in California have been extremely selective even since last year. As for my background, my current undergraduate GPA is 3.78/4 ranking 18 out of 303. My TOEFL and GRE are 106 and V157+Q170+AW4.0 respectively. I joined a lab of my school doing researches on distributed systems and had several research experiences. However technically I don't have any published or accepted paper, but three conference papers in submission. For details you might as well visit my personal page (https://excelle08.me). So here's a problem, a friend of mine attending MS program in computer science at UCR tells me that I'd better study in California so as to boast more convenience on internship and job applications. However personally I've avoided California to some extent and set my preference on solely research strengths of the universities and professors (by looking up csrankings.org as well as publications of the faculties), without caring much on location. So could anyone tell me if the location matters when it comes to job opportunities? Or it's just personal skills matters and companies usually won't hesitate paying one for trip to onsite? What about five years later when the CS industry might cool down? Any advice please?
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